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Manager - Data Analytics & Scientific Computing

Сфера деятельности: Research & Innovation

Тип должности: Permanent

Тип занятости: Full - Time

Место расположения: Mumbai

Страна: India

Key responsibilities:


• Provide leadership in statistical thinking in all aspects of R&I, including guidance on statistical methods, study designs and interpretation of results. Provide the best solutions and identifying new or improved ways of analyzing data and suggest the best approach for projects/functions/métiers
• Deeply understand India digital ecosystem, build up external network and introduce relevant technology to accelerate innovation

-Transfer and adapt to local needs algorithms and tools developed by worldwide AI and scientific computing teams
-Identify and develop Scientific computing opportunities for India consumers and researchers. 

• Cultivate data, DOE, Statistical culture for India R&I via trainings, workshops, and best practices 
• Work closely with global Beauty Tech team to realize the global strategy, collaborate closely at zone level
• Resolve difficult issues from emerging new business, and proactively involve into new method development

Zone Level –

-Participate at the India strategic vision for data science for Asia zone
• At zone level (China and Japan), align together with zone level teams for the best practice of  project collaboration
• Contribute talent  to zone level projects, such as Design Lab projects and others

Global level

-Implement in India the good practice of tool decided by the global team
-Lead global projects in Scientific computing and scientific data
• Contribute to the global strategy of scientific computing

-Share the knowledge and concerns with the Global SC team during the regular meetings for the exchange and collaborative interaction

The role needs to takes initiative and assists in solving demanding tasks and the role requires an independent, committed, detail and result oriented person. Analytical skills and a high focus on quality are important.

Knowledge, skills and experience:


Masters  in Statistics / Masters in Data Sciences  or equivalent qualifications

At least 3-6 years of experience working as a statistician within the Analytics consultancy / Pharma industry or Agronomy industry
Experience of programming in R / Python with development of standalone packages which can be published on the IT enabled platforms.
Experience with a broad range of statistical / computation methods and tasks (Inferential Statistics / Statistical Modelling / DOE)
Personal skills:

Good communication and presentation including ability to explain diverse topics with relative ease
Cross-cultural functioning approach 
Proactive and solution oriented
Ability to handle multiple complex tasks simultaneously and independently
Fluent in written and spoken English